Yanxu Mao - RankMe

17 papers B 2Misc 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning. CoRR Congying Liu, Taihao Li, Min Huang, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui
2025	J	`jnl`	A parameter-free text classification method based on dual compressors. Knowl. Inf. Syst. Yanxu Mao, Ying Ding, Tiehan Cui
2025	J	`jnl`	A robust multi-scale ship detection approach leveraging edge focus enhancement and dilated residual aggregation. J. Supercomput. Datao You, Bingbing Zhao, Deyu Lei, Yanxu Mao
2025	—	`conf`	BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs. BIBM Congying Liu, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui
2025	J	`jnl`	BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs. CoRR Congying Liu, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui
2025	—	`conf`	Dialogue Multi-dimensional Feature Dividing and Fusion Model for Dialogue Aspect-Based Sentiment Quadruple Analysis. NLPCC (3) Ying Ding, Yanxu Mao, Shunli Zhang
2025	—	`conf`	Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion. ACL (Findings) Tiehan Cui, Yanxu Mao, Peipei Liu, Congying Liu, Datao You
2025	J	`jnl`	Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion. CoRR Tiehan Cui, Yanxu Mao, Peipei Liu, Congying Liu, Datao You
2025	J	`jnl`	From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem. CoRR Yanxu Mao, Tiehan Cui, Peipei Liu, Datao You, Hongsong Zhu
2025	Misc	`conf`	GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction. ICASSP Yanxu Mao, Xiaohui Chen, Peipei Liu, Tiehan Cui, Zuhui Yue, Zheng Li
2025	B	`conf`	Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation. COLING Yanxu Mao, Peipei Liu, Tiehan Cui, Congying Liu, Datao You
2025	J	`jnl`	MVFE - MC : Multi-View Feature Extraction and Multimodal Classifier for Concrete Defect Image Classification. Expert Syst. J. Knowl. Eng. Xueqian Chu, Ying Wang, Yanxu Mao, Peipei Liu
2025	B	`conf`	YOLO-FHE: A Lightweight and Efficient Feature Aggregation Network for Object Detection in Remote Sensing. SMC Deyu Lei, Bingbing Zhao, Yanxu Mao, Wentao Li, Datao You
2024	J	`jnl`	Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models. CoRR Yanxu Mao, Peipei Liu, Tiehan Cui, Congying Liu, Datao You
2024	—	`conf`	Enhancing Logical Rules Based on Self-Distillation for Document-Level Relation Extraction. NLPCC (1) Yanxu Mao, Tiehan Cui, Ying Ding
2024	J	`jnl`	GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction. CoRR Yanxu Mao, Peipei Liu, Tiehan Cui
2024	J	`jnl`	Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation. CoRR Yanxu Mao, Peipei Liu, Tiehan Cui, Congying Liu, Datao You

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.